Product Owner Data Modeling

Key Responsibilities

• defining and delivers business value e2e: creates Product’s vision, owns the product, ensures that the product evolves in alignment with business goals and data management strategies
• contract management: collaborating with technology vendors and 3rd party partners on their technology roadmaps to meet future demand and optimize the service delivery
• representing “the voice of the customer” and strives to understand and reflect it in product roadmap and design
• stakeholders’ connection: engages with key business stakeholders (e.g. data analysts, solution architects, business units) to gather and define requirements for the data dictionary, managing expectations and provide regular updates on progress
• owing and managing Product Backlog: reflects requirements in User Stories prioritizes features and ensures successful execution of data dictionary-related initiatives
• service delivery: ensures the delivered solution is consistent with the requirements, verifies the product increment against the plan and oversees the quality of implementation
• working closely with the Product Team, Chapter Lead and Scrum master to ensure alignment on priorities, processes, and resource allocation
• working closely with the relevant Architects to ensure alignment on solution development, scalability, robustness and security that is within the right architectural guidance
• maintaining awareness of emerging technologies, industry trends and best practices and evaluate them for applicability.

Qualification & Requirements

• Bachelor/master’s degree in Computer Science or similar
• 10 years of experience in relevant in the data related field
• proven experience as a Product Owner, Product Manager, or similar role, preferably in data-related products
• proven experience in designing and implementing data models (e.g., relational models, star schemas, data marts, data graphs, dimensional models) for reporting, analytics, and business intelligence
• deep understanding of data architecture, including how data models integrate with other components of the data ecosystem (e.g., ETL processes, data warehouses, data lakes)
• strong experience in managing product backlogs, defining requirements
• experienced in working with Agile teams
• excellent analytical skills: ability to identify opportunities, assess needs, and define solutions that meet business goals
• strong problem-solving focus, balancing short-term needs with long-term strategic objectives
• ability to think critically and prioritize effectively in a fast-paced environment
• proven ability to connect and develop the right stakeholder network to ensure requirements and product development delivers the right business value
• experience with data modeling tools (preferably Sparx)
• good knowledge of data governance frameworks and standards
• process management and risk management
• very strong interpersonal skills
• ability to manage and liaise various groups of stakeholders
• excellent written and verbal English.

Benefits

No Information Available